Learn about SQL Server 2017 new features and upgrade options. This talk was delivered at MS Tech Summit in Toronto Dec. 2017

2. End-to-end mobile BI
on any device
Choice of platform
and language
Most secure
over the last 7 years
0
20
40
60
80
100
120
140
160
180
200
Vulnerabilities(2010-2016)
A fraction of the cost
Self-serviceBIperuser
Only commercial DB
with AI built-in
Microsoft Tableau Oracle
$120
$480
$2,230
Industry-leading
performance
1/10
Most consistent data platform
#1 OLTP performance
#1 DW performance
#1 price/performance
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
R
R and Python +
in-memory at massive scale
Native T-SQL scoring
S Q L S E R V E R 2 0 1 7
I N D U S T R Y - L E A D I N G P E R F O R M A N C E A N D S E C U R I T Y N O W O N L I N U X A N D D O C K E R
Private cloud Public cloud
In-memory across all workloads
1/10th the cost of Oracle

3. SQL Server
2017 New
Features

4. SQL Server 2017 Engine What’s New
Platform
Choice
Windows
Linux
Docker
Self-Tuning
Adaptive
Query
Processing
Automatic
Tuning
Machine
Learning
Python
Native Scoring
Developers
Graph
Database
T-SQL
enhancements
HADR
Read Scale
AGs
DTC and Cross
Database

5. F L E X I B L E , R E L I A B L E
D ATA M A N A G E M E N T
SQL Server on the platform of
your choice
Support for RedHat Enterprise Linux
(RHEL), Ubuntu, and SUSE Enterprise
Linux (SLES)
Linux and Windows Docker containers
Windows Server / Windows 10
Choice of platform and language
Tomorrow “SQL Server on Linux and Docker” at 10:45 AM in Room 801 B

6. SQL Server 2017 Performance
The World Leader in TPC-H and TPC-E Performance Benchmarks
World’s First Enterprise-Class “Diskless Database”
Adaptive Query Processing
Query Store Wait Statistics
Automatic Tuning
Columnstore Indexes and In-Memory OLTP enhancements
Resumable Online Index Rebuild
result

7. Towards a smarter Query Processor
Intelligent QP
Adaptive QP
Interleaved Execution
Batch Mode Adaptive
Joins
Memory Grant
Feedback
Batch ModeRow Mode
Table Variable
Deferred Compilation
Batch Mode for Row
Store
Scalar UDF inlining Approximate QP
Approximate Count
Distinct

8. Automatic Plan Correction
• dm_db_tuning_recommendations
Detect
• and system corrects
Turn on Auto
• to “last known good”
Reverts back
Perfect to help with parameter
sniffing
Query Store Telemetry

9. Automatic Tuning
in Action

10. HADR just keeps getting better
Clusterless Availability Groups
Read Scale Availability Groups
Availability Groups Cross-Platform
Full DTC and Cross Database support
REQUIRED_SYNCHRONIZED_SECONDARIES_TO_COMMIT
Configuration Only Replica for Linux (CU1)

11. A Modern Database Engine Platform
Graph Database
• Store relationships using nodes/edges
• Analyze interconnected data using
node/edge query syntax
SELECT Restaurant.name
FROM Person person1, Person person2,
likes, friendOf, Restaurant
WHERE MATCH(person1-(friendOf)-
>person2-(likes)->Restaurant)
AND person1.name='John';
Machine Learning Services
• Python Support — Choose Python or R; revoscalepy for scalability
• Native Scoring T-SQL PREDICT — up to 1000x faster
• MicrosoftML — Package of algorithms and pretrained models
Check out our tutorial

12. EXECUTE sp_execute_external_script
@language = N'Python'
, @script = N'
from sklearn.linear_model import LinearRegression
import pickle
df = rental_train_data
# Get all the columns from the dataframe.
columns = df.columns.tolist()
# Store the variable well be predicting on.
target = "RentalCount"
# Initialize the model class.
lin_model = LinearRegression()
.
.
.
.
Machine Learning Built-In Do the tutorial yourself

13. Upgrading to
SQL Server
2017

14. Upgrade and migration tools suite
Data Migration
Assistant (DMA)
•Sources: Older versions of
SQL Server
•Targets: Newer versions
of SQL Server or Azure DB
•Assess and Migrate
•Free download tool
Database
Experimentation
Assistant (DEA)
Capture trace on older
SQL Server
Replay on older and
newer
Compare performance
Free download tool
SQL Server
Migration
Assistant (SSMA)
Sources: ORACLE, MySQL,
DB2, SAP
Targets: SQL Server
(Windows or LInux), Azure
DB,
Free download tool
Azure Database
Migration
Service (DMS)
Use DMA or SSMA to
assess and migrate
schema
The Service handles the
rest

15. Legacy SQL Server instance
DMA: Assess and upgrade schema
1. Assess and identify issues
2. Fix issues
3. Upgrade database
Data Migration Assistant
SQL Server 2017
In-place or side-by-side upgrade path from:
• SQL Server 2008
• SQL Server 2008 R2
• SQL Server 2012
• SQL Server 2014
• SQL Server 2016
Side-by-side upgrade path from:
• SQL Server 2005
DEA: Replay and Compare

16. Migrating to SQL Server 2017 from other platforms
Oracle
SAP ASE
DB2
Identify apps
for migration
Use migration
tools and partners
Deploy to
production
SQL Server
Migration Assistant
Global partner
ecosystem
AND
SQL Server 2017
on Windows
SQL Server 2017
on Linux
OR
MySQL

17. Oracle SQL
SQL DB
Azure Database Migration Service
Accelerating your journey to the cloud
• Streamline database migration to Azure SQL
Database (PaaS)
• Managed service platform for migrating databases
• Migrate SQL Server and third-party databases to
Azure SQL Database
• Migrate to SQL Server to Azure Database
Managed Instance (Coming)
• Migrate to SQL Server in Azure VM (Coming)
Public Preview
Free
Come learn more tomorrow “Move and manage your SQL Databases to Azure” at 9:30 AM Room 714

18. Migration with AGs
Scenarios
• ISV solution built on SQL Server on
Windows
• Linux Certification
• Enterprise moving to an all-Linux
infrastructure
• Rigorous business requirements
• Seamless migration
Solution
Minimum downtime and HA for cross-
platform migrations with Distributed
Availability Groups
Migration/testing

19. Database Compatibility
SQL Server Version Default
Compat
Level
SQL Server 2017 140
SQL Server 2016 130
SQL Server 2014 120
SQL Server 2012 110
SQL Server 2008 R2
SQL Server 2008
100
• Upgrade (including restore) retains compat level of database
• Use this to maintain functional compatibility
• Reserved words
• Query execution functionality
• Not a guarantee of performance
• 120 introduces new cardinality estimator for Queries
• 130 and 140 introduce new query plan and execution features
• 130 and 140 include by default QP fixes that were under trace
flag 4199
• Trace flag 4199 applies now for new fixes
• Use Query Store to observe performance differences after
changing compatibility
• Does not affect server wide functionality
• Model can be changed to affect new databases
We keep default level
for Azure DB updated

20. Query Store and
Database
Compatibility

21. Modern BI
Big Data
&
Data Warehousing
Database
Modernization
Data Science & AI
Migrate to SQL
Server or Azure
IoT
6 ways to get value data.
Apply for complimentary workshop, assessment or PoC
Application link: www.aka.ms/data6offers

22. Resources
SQL Server Blog
bobsql blog post on SQL Server 2017 resources
SQL Server 2017 Deep Dive on Youtube
Adaptive Query Processing
Automatic Tuning
Graph Database
SQL Server Machine Learning Services
Database Migration Assistant
Database Experimentation Assistant
SQL Server Migration Assistant
Azure Database Migration Service
SQL Server Database Compatibility Levels

25. Bonus
Materials

26. Offer: Data Platform Modernization
Are you still running applications on SQL Server 2005 or 2008? It’s time to move your data infrastructure to the new level.
Upgrading to SQL Server 2017 or moving to Azure SQL DB can help your organization to stay compliant, improve performance,
reliability, security and achieve higher flexibility.
Microsoft partners can help you to learn about the latest version of SQL Server and Azure Data Services, get familiar with the
benefits of modernizing your Data Infrastructure, assess implementation & test drive new solution with a Proof of Concept project.
Ready to upgrade your data infrastructure?
Apply for complimentary workshop, assessment or PoC: www.aka.ms/Data6Offers
* Apply your Software Assurance benefits (SQL Server Deployment Planning Services days) to cover the engagement cost.
Your organization also might be eligible for subsidized deployment services. Please contact your Microsoft Account Manager or
Partner for details.
www.aka.ms/Data6Offers

27. Offer: Migrate to SQL Server & Azure
Why Migrate? Oracle customers have many concerns about moving forward on their Oracle platforms, with one of the risks being
getting locked into a single vendor with high licensing costs. Oracle licenses for the same workload could cost up to 10-12 times
more than SQL Server. By migrating to SQL Server your organization can save money and achieve the performance, scale, and
security your mission-critical applications need.
Microsoft partners can help you to assess your current environment, review architectural considerations, create a detailed
migration plan to SQL Server and pilot a future solution with Proof of Concept project.
Review architectural
considerations and create a
migration plan
Dive into key features of SQL
Server and Azure SQL DB
through hands-on labs and
instructor-led demos.
Ready to migrate to SQL Server or Azure?
Apply for complimentary workshop, assessment or PoC: www.aka.ms/Data6Offers
* Apply your Software Assurance benefits (SQL Server Deployment Planning Services days) to cover the engagement cost.
Your organization also might be eligible for subsidized deployment services. Please contact your Microsoft Account Manager or
Partner for details. www.aka.ms/Data6Offers

28. United platform for the modern service provider
CUSTOMER
DATACENTER
SERVICE
PROVIDER
MICROSOFT
AZURE
CONSISTENT
PLATFORM
Enterprise-grade
Global reach, scale, and security to meet
business demands
Hybrid cloud
Consistent platform across multiple
environments and clouds
People-focused
Expands technical skill sets to the cloud for
new innovation
Microsoft vision for a new era

29. SQL Server 2017
Meeting you where you are
It’s the same SQL Server Database Engine that has many features and services
available for all your applications—regardless of your operational ecosystem.
Linux
Any data Any application Anywhere Choice of platform
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
10100
10100
10
{ }

30. A consistent experience from SQL Server on-premises to
Microsoft Azure IaaS and PaaS
• On-premises, private cloud, and public cloud
• SQL Server local (Windows and Linux), VMs (Windows and Linux),
containers, and SQL Database
• Common development, management, and identity tools including Active
Directory, Visual Studio, Hyper-V, and System Center
• Scalability, availability, security, identity, backup and restore, and replication
• Many data sources
• Reporting, integration, processing, and analytics
All supported in the hybrid cloud
Consistency and integration

31. Database Engine new features
Enhanced performance for natively compiled T-SQL modules
• OPENJSON, FOR JSON, JSON
• CROSS APPLY operations
• Computed columns
New string functions
• TRIM, CONCAT_WS, TRANSLATE, and STRING_AGG with support for
WITHIN GROUP (ORDER BY)
Bulk import now supports CSV format and Azure Blob storage as
file source

32. Integration Services new features
Integration Services scale out
• Distribute SSIS package execution more easily across multiple workers, and
manage executions and workers from a single master computer
Integration Services on Linux
• Run SSIS packages on Linux computers
• Currently some limitations
Connectivity improvements
• Connect to the OData feeds of Microsoft Dynamics AX Online and
Microsoft Dynamics CRM Online with the updated OData components

33. Analysis Services new features
1400 Compatibility level for tabular models
Object level security for tabular models
Get data enhancements
• New data sources, parity with Power BI Desktop and Excel 2016
• Modern experience for tabular models
Enhanced ragged hierarchy support
• New Hide Members property to hide blank members in ragged hierarchies
Detail Rows
• Custom row set contributing to a measure value
• Drillthrough action in more detail than the aggregated level in tabular
models

34. Reporting Services new features
Comments
• Comments are now available for reports, to add perspective and
collaborate with others—you can also include attachments with comments
Broader DAX support
• With Report Builder and SQL Server Data Tools, you create native DAX
queries against supported tabular data models by dragging desired fields
to the query designers
Standalone installer
• SSRS is no longer distributed through SQL Server setup
• Power BI Report Server

35. Choosing a migration target
“What’s the best path for me?”

36. Migration Assistant
Database and application migration process
• Database connectivity
• User login and permission
• Performance tuning
• Database Discovery
• Architecture requirements
• (HADR, performance, locale, maintenance, dependencies, and so on)
• Migration Assessment
• Complexity, effort, risk
• Schema conversion
• Data migration
• Embedded SQL statements
• ETL and batch
• System and DB interfaces

37. SQL Server Migration Assistant (SSMA)
Automates and simplifies all phases of database migration
Assess migration complexityMigration Analyzer
Convert schema and business logicSchema Converter
Migrate dataData Migrator
Supports migration from DB2, Oracle, SAP ASE, MySQL, or Access to SQL Server
Validate converted database codeMigration Tester

38. Azure solution paths
Do not have to manage any VMs, OS or database software, including
upgrades, high availability, and backups.
Highly customized system to address the application’s specific performance
and availability requirements.

39. Azure migration tools and services
Assess Migrate

40. Legacy SQL Server instance
DMA: Assess and migrate schema
1. Assess and identify issues
2. Fix issues
3. Convert and
deploy schema
DMA